AI Agents1 week ago
Solari
The fastest infra for AI agents. Deploy browsers, sandboxes, and execution environments to automate at scale.
@getsolari · X
the worlds fastest agent infra
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61 projects
The fastest infra for AI agents. Deploy browsers, sandboxes, and execution environments to automate at scale.
@getsolari · X
the worlds fastest agent infra
Linux workspace for AI coding tools that persists files, dependencies and services across sessions.
@SeagerCortez · X
Managed hosting platform for AI agents with persistent workspaces, memory, and scheduled backups.
@hijak01 · X
check out the demo
Generate AI-powered travel itineraries and plans in minutes.
jalonso · Product Hunt
naistrip Plan your trip with AI in seconds, not hours
Build and deploy AI customer support agents without writing code.
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS
Find hidden cloud and AI costs across AWS, Azure, GCP, and more with automated audits.
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens
Design mobile app interfaces with AI and export to HTML, design tokens, and implementation code.
@9to5_Dad · X
Ai mobile app ui designer with taste
Cloud browser infrastructure helping AI agents automate web tasks at scale.
lexmount · GitHub
moli Best browser for AI agents, built in Rust.
Share files and logs with AI agents like Claude Code and Cursor in an encrypted workspace.
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin
Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
Platform to build, deploy, and automate AI applications and business workflows.
@khemmapich · X
itself in the early days focus on help small business to run their business on ai agents with vibe coding, workflow automation, and ai employees.